Components of Data Science

1
Components of Data Science
https//nareshit.com/data-science-online-training/
2
Now we will discuss some of the key components of
Data Science, which are

• Data
• Programming
• Statistics and Probability
• Machine Learning
• Mathematics

https//nareshit.com/data-science-online-training/
3
Data

• The raw dataset lies at the core of Data
  Science, this raw data can be found in different
  forms like structured data which is mostly
  available in the form of tables and unstructured
  data which is available in the form of images,
  videos, pdfs, etc and is more difficult to handle.

https//nareshit.com/data-science-online-training/
4
Programming

• In Data Science, the data is managed and
  analyzed by making use of computer programming.
  Several programming languages can be used for
  this purpose.

https//nareshit.com/data-science-online-training/
5
Statistics and Probability

• We can manipulate the data in different ways
  to extract information out of it. In Data
  Science, Statistics and probability have a very
  important role to play. It provides a way to
  analyze the numerical data in a large amount and
  finding meaningful insights from it.

https//nareshit.com/data-science-online-training/
6
Machine Learning

• Machine learning has a very significant role
  in the field of Data Science. It is the branch of
  artificial intelligence that aims to make the
  machines smarter by enabling the machines to
  learn from the data itself by training them using
  various algorithms.

https//nareshit.com/data-science-online-training/
7
Mathematics

• Mathematics is one of the core components of
  Data Science. Various mathematical components
  help you to identify patterns in the data and
  then design algorithms accordingly. For becoming
  a Data Scientist, a good knowledge of mathematics
  is very essential.

https//nareshit.com/data-science-online-training/
8
Thank You

• For More Information
• Click On ?? ?? Data Science Online Training

https//nareshit.com/data-science-online-training/